Search Results - Sense data.

How soil carbon accounting can improve to support investment- oriented actions promoting soil carbon storage by Costa, Ciniro, Dittmer, Kyle M., Shelton, Sadie W., Bossio, Deborah A., Zinyengere, Nkulumo, Luu, Paul, Heinz, Sebastian, Egenolf, Konrad, Rowland, Bailey, Zuluaga, Andrés, Klemme, Julia, Mealey, Tim, Smith, Madelyn, Wollenberg, Eva Karoline

“… ◼ Developing low-cost SOC accounting requires i) focusing on a few high-quality direct measurements (opposed to multiple low-quality measurements), ii) reducing the uncertainty of models, and iii) enhancing capability to easily incorporate farm-level activity data. ◼ Moving to hybrid measurement approaches (a mix of direct measurements with modeling and remote sensing) seems to be the most cost-effective pathway to achieve low-cost SOC accounting systems.…”
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Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning by Hengl, T., Leenaars, Johan G.B., Shepherd, Keith D., Walsh, Markus G., Heuvelink, Gerard B.M., Mamo, T., Tilahun, H., Berkhout, Ezra D., Cooper, M., Fegraus, E., Wheeler, I., Kwabena, N. A.

“…Model training was performed using soil samples from ca. 59,000 locations (a compilation of soil samples from the AfSIS, EthioSIS, One Acre Fund, VitalSigns and legacy soil data) and an extensive stack of remote sensing covariates in addition to landform, lithologic and land cover maps. …”
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Evaluating the potential and eligibility of conservation agriculture practices for carbon credits by Cariappa, Adeeth AG, Konath, Noufa C., Sapkota, Tek B., Krishna, Vijesh V.

“…Using farmer surveys and remote sensing data, we assess the eligibility based on the following conditions: Additionality Condition (GHG emission reductions to exceed legal requirements and the weighted mean adoption rate to be < 20% of area in the baseline), Yield Penalty Condition (no > 5% decrease in crop yields), and Quantitative Adjustment Condition (reduction in chemical fertilizer use by > 5%). …”
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Contrasted land use and development trajectories in the Brazilian Amazon by Mertens, B., Piketty, M.G., Venturieri, A., Alves, D., Tourrand, Jean François

“…These data were integrated in a GIS, and the analyses were supported quantitatively by using spatial econometric modelling approaches and landscape ecology tools.…”
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Carbon storage potential of silvopastoral systems of Colombia by Aynekulu, Ermias, Suber, M., Noordwijk, M. van, Arango, Jacobo, Roshetko, J.M., Rosenstock, Todd S.

“…Here, we combined previously published tree cover data based on 250 m resolution MODIS satellite remote sensing imagery for 2000–2017 with ecofloristic zone carbon stock estimates to calculate historical and potential future tree biomass carbon storage in Colombian grasslands. …”
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Length of Growing Period over Africa: Variability and Trends from 30 Years of NDVI Time Series by Vrieling, A., Leeuw, Jan de, Said, Mohammed Yahya

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A land cover map of Latin America and the Caribbean in the framework of the SERENA project by Blanco, Paula Daniela, Colditz, Rene R., López Saldaña, Gerardo, Hardtke, Leonardo Andrés, Llamas, Ricardo M., Mari, Nicolás Alejandro, Fischer, Maria De Los Angeles, Caride, Constanza, Aceñolaza, Pablo Gilberto, del Valle, Hector Francisco, Lillo Saavedra, Mario F., Coronato, Fernando Raul, Opazo, Sergio A., Morelli, Fabiano, Anaya Acevedo, Jesús Adolfo, Sione, Walter Fabian, Zamboni, Pamela, Barrena Arroyo, Victor

“…It was developed in the framework of the project Latin American Network for Monitoring and Studying of Natural Resources (SERENA), which has been developed within the GOFC-GOLD Latin American network of remote sensing and forest fires (RedLaTIF). The SERENA land cover map for LAC integrates: 1) the local expertise of SERENA network members to generate the training and validation data, 2) a methodology for land cover mapping based on decision trees using MODIS time series, and 3) class membership estimates to account for pixel heterogeneity issues. …”
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Effects of household-level attributes and agricultural land-use on deforestation patterns along a forest transition gradient in the Miombo landscapes, Zambia by Kazungu, M., Velasco, R.F., Zhunusova, E., Lippe, M., Kabwe, G., Gumbo, D.J., Günter, S.

“…We integrate remotely sensed data with surveys of 1123 households collected in the Miombo areas between 2017 and 2019 to better understand the effects of household attributes on regional deforestation patterns along a forest transition gradient. …”
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Rapid expansion of pastures in Northern Lao PDR revealed by geospatial analysis by Himel, Jeffrey, Jalonen, Riina, Kong-Ay, Khampaseuth, Vongkhamho, Simone, Bountihiphonh, Chaloun, Xaypheng, Nout, Chanhthavong, Somsack, Notenbaert, An, Muthoni, Francis

“…The objective of this study was to apply remote sensing and field inventory data analyze land use/land cover changes (LULCC) in three districts in Luang Prabang and Xieng Khouang provinces of Lao PDR, with a special focus on conversions to and from pasture lands. …”
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Global tree cover and biomass carbon on agricultural land: The contribution of agroforestry to global and national carbon budgets by Zomer, Robert J., Neufeldt, Henry, Xu, Jianchu, Ahrends, Antje, Bossio, Deborah A., Trabucco, Antonio, Noordwijk, Meine van, Wang, Mingcheng

“…This paper assesses the role of trees on agricultural land and their significance for carbon sequestration at a global level, along with recent change trends. Remote sensing data show that in 2010, 43% of all agricultural land globally had at least 10% tree cover and that this has increased by 2% over the previous ten years. …”
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Relating X-band SAR backscattering to leaf area index of rice in different phenological phases by Asilo, Sonia, Nelson, Andrew, de Bie, Kees, Skidmore, Andrew, Laborte, Alice, Maunahan, Aileen, Quilang, Eduardo Jimmy P.

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Mapping the risky returns to smallholder fertilizer investments in Africa by Gebrekidan, Bisrat, Chamberlin, Jordan, Mkondwa, Maxwell, Silva, Joao Vasco, Hijmans, Robert

“…We integrate georeferenced maize fertilizer trial responses with spatial data on soils, long-run rainfall variability, remotely sensed vegetation, and locally differentiated input and output prices to characterize the full distributions of fertilizer returns across space. …”
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Workshop on implementation strategies for piloting flood index insurance for agricultural development in Bangladesh by International Water Management Institute

“…The project integrated advanced numerical modelling techniques for constructing long term flood patterns, high resolution remote sensing data and statistical models to predetermine flood thresholds, which could trigger speedy compensation payouts. …”
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Estimating the timing of animal and plant phenophases in a boreal landscape in Northern Sweden (Västerbotten) using camera traps by Young, Sherry

“…However, camera traps have appeared to be a reliable tool, providing accurate data on various variables, over a long time and a broad area.…”

Integrated assessment of deforestation drivers and their alignment with subnational climate change mitigation efforts by Bos, A.B., Sy, Veronique de, Duchelle, Amy E., Atmadja, S., Bruin, S. de, Wunder, Sven, Herold, M.

“…Our study design includes an integrated assessment of remotely sensed, spatially modelled, and locally reported drivers. …”
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Early assessment of seasonal forage availability for mitigating the impact of drought on East African pastoralists by Vrieling, A., Meroni, M., Mude, Andrew G., Chantarat, S., Ummenhofer, Caroline C., Bie, C.A.J.M. de

“…The scheme insures individual households through an area-aggregated seasonal forage scarcity index derived from remotely-sensed normalized difference vegetation index (NDVI) time series. …”
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Monitoring Changes in Land Use Land Cover and Ecosystem Service Values of Dynamic Saltwater and Freshwater Systems in Coastal Bangladesh by Geospatial Techniques by Hoque, Muhammad Ziaul, Ahmed, Minhaz, Islam, Imranul, Cui, Shenghui, Xu, Lilai, Prodhan, Foyez Ahmed, Ahmed, Sharif, Rahman, Md. Atikur, Hasan, Jahid

“…Taking the coastal region of Bangladesh (CRB) as a case study, we utilized remote sensing and GIS techniques to analyze Landsat data of 1999 and 2019 to estimate the effect of LULC changes on the ESVs. …”
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Tecnologías emergentes para el agro y su aplicación en Colombia by Ovalle Másmela, Juan Camilo, Romero Perdomo, Felipe Andrés, Uribe Galvis, Claudia Patricia

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Predicting the chlorophyll content of maize over phenotyping as a proxy for crop health in smallholder farming systems by Brewer, K., Clulow, A.D., Sibanda, M., Gokool, S., Naiken, V., Mabhaudhi, Tafadzwanashe

“…The use of UAVs with remote-sensing techniques allows for the acquisition of high spatial resolution data at various spatio-temporal planes, which is particularly useful at the scale of fields and farms. …”
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Assessing Land Use and Land Cover Change and Farmers’ Perceptions of Deforestation and Land Degradation in South-West Côte d’Ivoire, West Africa by Kouassi, J.-L., Gyau, A., Diby, L., Bene, Y., Kouamé, C.

“…This study assessed land use and land cover (LULC) change and farmers’ perceptions of the drivers and effects of deforestation and land degradation in south-western Côte d’Ivoire. We used remotely sensed data to determine LULC change trends, and a household survey to collect farmers’ perceptions of deforestation and land degradation. …”
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